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Build a Financial Due Diligence Agent with LiteParse
LlamaIndex16 June 2026Watch on YouTube
Part of series
Ep. 1 · Agent Document Build
View the seriesDescription
Financial documents are some of the messiest data sources your agents will ever encounter. In this hands-on workshop, our Head of Open Source, Logan, will walk through building a financial research agent from scratch using LiteParse, our open-source document parser with 4,900+ GitHub stars. You'll see the full workflow live: raw, messy financial PDFs in — structured, agent-ready data out. Repo: https://github.com/logan-markewich/liteparse-financial-agent Explore LiteParse: https://llamaindex.ai/liteparse
What you'll learn
- You learn how to build a financial research agent from scratch using LiteParse, an open-source document parser by LlamaIndex.
- You see how messy, unstructured financial PDFs are transformed into structured, agent-ready data.
- You discover practical techniques to manage the complexity of financial documents and make them suitable for AI processing.
Frequently asked questions
What is LiteParse and why is it useful for financial documents?
LiteParse is an open-source document parser by LlamaIndex with over 4,900 GitHub stars. It specializes in converting messy financial PDFs into structured, agent-ready data.
What is demonstrated during this workshop?
The workshop demonstrates the full workflow of building a financial research agent, from raw, messy financial PDFs to clean, structured data.
Where can I find the code and resources for this workshop?
You can find the repository and all resources on GitHub at logan-markewich/liteparse-financial-agent and learn more about LiteParse at llamaindex.ai/liteparse.